TY - GEN
T1 - A Comprehensive Data Schema for Digital Twin Construction
AU - Schlenger, J.
AU - Yeung, T.
AU - Vilgertshofer, S.
AU - Martinez, J.
AU - Sacks, R.
AU - Borrmann, A.
N1 - Publisher Copyright: © 2022 29th EG-ICE International Workshop on Intelligent Computing in Engineering. All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - Lean construction, originating from lean management, aims to proactively improve the overall efficiency of construction processes. This requires continuous assessment of performance to identify key problems, which allows continuous improvement of construction processes. Novel digital twin approaches form an excellent technological foundation for performance assessment through regular updates with product and process information directly from the construction site. While some publications favour a schema-less approach to digital twins, we argue that well-defined data structures are required to represent complex information reliably and transparently. Existing process and product models are inadequate with respect to the requirements of a digital twin of the construction phase. As a result, we introduce a new process-oriented model that provides an improved basis for advanced process evaluation in the digital twin environment. This data schema, which is the main outcome of this paper, is presented in UML format together with a first approach to transfer it to an ontology usable in the Semantic Web context.
AB - Lean construction, originating from lean management, aims to proactively improve the overall efficiency of construction processes. This requires continuous assessment of performance to identify key problems, which allows continuous improvement of construction processes. Novel digital twin approaches form an excellent technological foundation for performance assessment through regular updates with product and process information directly from the construction site. While some publications favour a schema-less approach to digital twins, we argue that well-defined data structures are required to represent complex information reliably and transparently. Existing process and product models are inadequate with respect to the requirements of a digital twin of the construction phase. As a result, we introduce a new process-oriented model that provides an improved basis for advanced process evaluation in the digital twin environment. This data schema, which is the main outcome of this paper, is presented in UML format together with a first approach to transfer it to an ontology usable in the Semantic Web context.
UR - http://www.scopus.com/inward/record.url?scp=85187199781&partnerID=8YFLogxK
U2 - 10.7146/aul.455.c194
DO - 10.7146/aul.455.c194
M3 - منشور من مؤتمر
T3 - Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering
SP - 34
EP - 44
BT - Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering
A2 - Teizer, Jochen
A2 - Schultz, Carl Peter Leslie
T2 - 29th International Workshop on Intelligent Computing in Engineering, EG-ICE 2022
Y2 - 6 July 2022 through 8 July 2022
ER -